Context-based multiscale classification of document images using wavelet coefficient distributions

Jia Li, Robert M. Gray

Research output: Contribution to journalArticle

58 Scopus citations

Abstract

In this paper, an algorithm is developed for segmenting document images into four classes: background, photograph, text, and graph. Features used for classification are based on the distribution patterns of wavelet coefficients in high frequency bands. Two important attributes of the algorithm are its multiscale nature - it classifies an image at different resolutions adaptively, enabling accurate classification at class boundaries as well as fast classification overall - and its use of accumulated context information for improving classification accuracy.

Original languageEnglish (US)
Pages (from-to)1604-1616
Number of pages13
JournalIEEE Transactions on Image Processing
Volume9
Issue number9
DOIs
StatePublished - Sep 2000

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

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